• Title/Summary/Keyword: fusion

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Effect of composition on the structural and thermal properties of TiZrN thin film (TiZrN 박막의 조성이 구조적 특성 및 열적 특성에 미치는 영향)

  • Choi, Byoung Su;Um, Ji Hun;Seok, Min Jun;Lee, Byeong Woo;Kim, Jin Kon;Cho, Hyun
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.31 no.1
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    • pp.37-42
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    • 2021
  • The effect of chemical composition on the structural and thermal properties of TiZrN thin films was studied. As the Zr fraction in the deposited TixZr1-xN (x = 0.87, 0.82, 0.7, 0.6, and 0.28) increased, microstructural changes consisted of reduction in the grain size and a gradual transition from columnar structure to granular structure were observed. In addition, it was also confirmed that a gradual crystal phase transition from TiN to TiZrN has occurred as the Zr fraction increased up to 0.4. After heat treatment at 900℃, Ti0.82Zr0.18N and Ti0.7Zr0.3N layers were converted to a form in which rutile phase TiO2 and TiZrO4 oxides coexist, while Ti0.6Zr0.4N layer was converted to TiZrO4 oxide. Among the five compositions of TiZrN films, the Ti0.6Zr0.4N showed the best high temperature stability and produced a significant enhancement in the thermal oxidation resistance of Inconel 617 through suppressing the surface diffusion of Cr caused by thermal oxidation of the Inconel 617 substrate.

A study on the selection of candidates for public bases according to the spatial distribution characteristics Automated External Defibrillator in Daegu City (대구시 자동심장충격기 공간분포 특성에 따른 공공 거점후보지 선정 연구)

  • Beak, Seong Ryul;Kim, Jun Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.6
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    • pp.599-610
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    • 2020
  • The AED (Automated External Defibrillator) is not evaluated for spatial accuracy and temporal availability even if it is located within a building or a specific area that needed necessary to partition by spatial analysis and location allocation analysis. As a result of the analysis, the spatial analysis was performed using the existing public data of AED with applied the GIS location analysis method. A public institution (119 safety center, police box) was selected as a candidate for a public AED base that can operate 24 hours a day, 365 days a year according to the characteristics of each residential area. In addition, Thiessen Polygons were created for each candidate site and divided by regions. In the analysis of the service was analyzed regional in terms of accessibility to emergency medical services in consideration of the characteristics of AED, that emergency vehicles could arrive within 4 minutes of the time required for emergency medical treatment in most areas of the study area, but it did not areas outside of the city center. As a result, It was found that the operation of the AED base service center centered on vehicles of public institutions is effective for responding to AED patients at night and weekend hours. 19 Safety Center under and police box the jurisdiction of Daegu City to establish an AED service center for public institutions, location-based distance, attribute analysis, and minimization of overlapping areas that the method of using a vehicle appeared more efficient than using the existing walking type AED.

A Study on Geospatial Information Role in Digital Twin (디지털트윈에서 공간정보 역할에 관한 연구)

  • Lee, In-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.268-278
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    • 2021
  • Technologies that are leading the fourth industrial revolution, such as the Internet of Things (IoT), big data, artificial intelligence (AI), and cyber-physical systems (CPS) are developing and generalizing. The demand to improve productivity, economy, safety, etc., is spreading in various industrial fields by applying these technologies. Digital twins are attracting attention as an important technology trend to meet demands and is one of the top 10 tasks of the Korean version of the New Deal. In this study, papers, magazines, reports, and other literature were searched using Google. In order to investigate the contribution or role of geospatial information in the digital twin application, the definition of a digital twin, we investigated technology trends of domestic and foreign companies; the components of digital twins required in manufacturing, plants, and smart cities; and the core techniques for driving a digital twin. In addition, the contributing contents of geospatial information were summarized by searching for a sentence or word linked between geospatial-related keywords (i.e., Geospatial Information, Geospatial data, Location, Map, and Geodata and Digital Twin). As a result of the survey, Geospatial information is not only providing a role as a medium connecting objects, things, people, processes, data, and products, but also providing reliable decision-making support, linkage fusion, location information provision, and frameworks. It was found that it can contribute to maximizing the value of utilization of digital twins.

Real-Time Joint Animation Production and Expression System using Deep Learning Model and Kinect Camera (딥러닝 모델과 Kinect 카메라를 이용한 실시간 관절 애니메이션 제작 및 표출 시스템 구축에 관한 연구)

  • Kim, Sang-Joon;Lee, Yu-Jin;Park, Goo-man
    • Journal of Broadcast Engineering
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    • v.26 no.3
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    • pp.269-282
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    • 2021
  • As the distribution of 3D content such as augmented reality and virtual reality increases, the importance of real-time computer animation technology is increasing. However, the computer animation process consists mostly of manual or marker-attaching motion capture, which requires a very long time for experienced professionals to obtain realistic images. To solve these problems, animation production systems and algorithms based on deep learning model and sensors have recently emerged. Thus, in this paper, we study four methods of implementing natural human movement in deep learning model and kinect camera-based animation production systems. Each method is chosen considering its environmental characteristics and accuracy. The first method uses a Kinect camera. The second method uses a Kinect camera and a calibration algorithm. The third method uses deep learning model. The fourth method uses deep learning model and kinect. Experiments with the proposed method showed that the fourth method of deep learning model and using the Kinect simultaneously showed the best results compared to other methods.

20(S)-ginsenoside Rh2 induces caspase-dependent promyelocytic leukemia-retinoic acid receptor A degradation in NB4 cells via Akt/Bax/caspase9 and TNF-α/caspase8 signaling cascades

  • Zhu, Sirui;Liu, Xiaoli;Xue, Mei;Li, Yu;Cai, Danhong;Wang, Shijun;Zhang, Liang
    • Journal of Ginseng Research
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    • v.45 no.2
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    • pp.295-304
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    • 2021
  • Background: Acute promyelocytic leukemia (APL) is a hematopoietic malignancy driven by promyelocytic leukemia-retinoic acid receptor A (PML-RARA) fusion gene. The therapeutic drugs currently used to treat APL have adverse effects. 20(S)-ginsenoside Rh2 (GRh2) is an anticancer medicine with high effectiveness and low toxicity. However, the underlying anticancer mechanisms of GRh2-induced PML-RARA degradation and apoptosis in human APL cell line (NB4 cells) remain unclear. Methods: Apoptosis-related indicators and PML-RARA expression were determined to investigate the effect of GRh2 on NB4 cells. Z-VAD-FMK, LY294002, and C 87, as inhibitors of caspase, and the phosphatidylinositol 3-kinase (PI3K) and tumor necrosis factor-α (TNF-α) pathways were used to clarify the relationship between GRh2-induced apoptosis and PML-RARA degradation. Results: GRh2 dose- and time-dependently decreased NB4 cell viability. GRh2-induced apoptosis, cell cycle arrest, and caspase3, caspase8, and caspase9 activation in NB4 cells after a 12-hour treatment. GRh2-induced apoptosis in NB4 cells was accompanied by massive production of reactive oxygen species, mitochondrial damage and upregulated Bax/Bcl-2 expression. GRh2 also induced PML/PML-RARA degradation, PML nuclear bodies formation, and activation of the downstream p53 pathway in NB4 cells. Z-VAD-FMK inhibited caspase activation and significantly reversed GRh2-induced apoptosis and PML-RARA degradation. GRh2 also upregulated TNF-α expression and inhibited Akt phosphorylation. LY294002, an inhibitor of the PI3K pathway, enhanced the antitumor effects of GRh2, and C 87, an inhibitor of the TNF-α pathway, reversed NB4 cell viability, and GRh2-mediated apoptosis in a caspase-8-dependent manner. Conclusion: GRh2 induced caspase-dependent PML-RARA degradation and apoptosis in NB4 cells via the Akt/Bax/caspase9 and TNF-α/caspase8 pathways.

Educational Psychology in the Age of the Fourth Industrial Revolution (제4차 산업혁명 시대의 교육심리학)

  • LEE, Sun-young
    • (The)Korea Educational Review
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    • v.23 no.1
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    • pp.231-260
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    • 2017
  • The Fourth Industrial Revolution foreshadows radical changes in our lives. In the era of the fourth industrial revolution called the digital revolution, individualized learning based on ubiquitous learning is emphasized. The contents of learning will be centered on procedural knowledge rather than narrative knowledge, and fusion education in which boundaries between learning domains are broken down will be achieved. First of all, learners in the fourth industrial revolution era should have critical thinking and problem solving abilities. Metacognition based on self-control and cognitive flexibility is important for effective self-directed and active learning. Creativity-based collaborative activities, social vision skills, and social and emotional skills are also important competencies. Therefore, in order to provide individualized learning contents to learners in the fourth industrial revolution era, they should be transformed into learning paradigm based on personal characteristics such as learners' self-efficacy, interest, curiosity and creativity. In addition to this, evaluation forms should be diversified according to changing teaching and learning methods. In order to cultivate teachers to lead such educational innovation, it is necessary to reconsider the teaching capacity. Teachers should be able to construct creative lessons by skillfully exploiting technology in future learning environments. In addition to this, it should also have the ability to collaborate and cognitive flexibility to converge with other academic disciplines. Along with these discussions, we proposed the need for policy intervention along with changes in education.

A Study On Possible Utility of Korean Traditional Thoughts and Educational Practice In Contemporary Moral Education (전통 사상 및 교육 방법의 현대 도덕 교육과정에서의 활용 가능성 연구)

  • Ham, Kyu-Jin;Shin, Chang Ho;Lim, HongTae;Chi, Chun-Ho
    • The Journal of Korean Philosophical History
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    • no.50
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    • pp.363-389
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    • 2016
  • Any moral ideas get integrity upon their practices. Because in human society systems, morality have capability among human interactions, for it gives moral standards(good or bad/ right or wrong) to them. And when the society system is Korean, Koreans surely have developed unique styles of moral practice and moral education in their traditional ages. So reinterpretating and categorizing the moral tradition for taking advantage of it in contemporary context, make sense. In this study, Korean moral tradition is focused in its scope, as 'Confucian moral tradition in semi-modern era'. For convenience of study and the potentials of effective revision, Korean tradition have been resized. In Confucian moral tradition, semi-modern Korean moral ideas could be presented as ren(仁) and yi(義). Furthermore, ren and yi could be practiced with several moral virtues, like xiao(孝), di(弟), ci(慈), zhi(直) qin(勤) gian(儉). When compared with contemporary moral education idea systems, the traditional system can have affinity with the systems in moral ideas division('with-self morality', 'with-others morality', 'with-universe and transcendence morality'). And several fusion-style, integration-based education practices can be developed and applied at contemporary school moral education.

A Study on AI Industrial Ecosystem to Foster Artificial Intelligence Industry in Busan (부산지역 인공지능 산업 육성을 위한 AI 산업생태계 연구)

  • Bae, Soohyun;Kim, Sungshin;Jeong, Seok Chan
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.121-133
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    • 2020
  • This study was carried out to set the direction of the new industry policy of Busan city by analyzing the changing trend of artificial intelligence technology that has recently developed rapidly and predicting the direction of future development. The company wanted to draw up support measures to utilize artificial intelligence technology, which has been rapidly emerging in the market, in the region's specialized industry. Artificial intelligence is a key keyword in the fourth industrial revolution and artificial intelligence-based data utilization technology can be used in various fields from manufacturing processes to services, and is entering an era of super-fusion in which barriers between technologies and industries will be broken down. In this study, the direction of promotion for fostering Busan as an artificial intelligence city was derived based on the comparison and analysis of artificial intelligence-related ecosystems among major local governments. In this study, we wanted to present a plan to create an artificial intelligence industrial ecosystem that can be called a key policy to foster Busan as an 'AI City'. Busan's plan to foster the AI industry ecosystem is aimed at establishing a policy direction to ultimately nurture the artificial intelligence industry as Busan's future food source.

Butyrate Ameliorates Lipopolysaccharide-induced Myopathy through Inhibition of JNK Pathway and Improvement of Mitochondrial Function in C2C12 Cells (C2C12 세포에서 lipopolysaccharide에 의해 유도된 근육위축증에 대한 butyrate의 개선효과: JNK 신호전달 억제와 미토콘드리아의 기능 개선)

  • Pramod, Bahadur KC;Kang, Bong Seok;Jeoung, Nam Ho
    • Journal of Life Science
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    • v.31 no.5
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    • pp.464-474
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    • 2021
  • Inflammation induced by metabolic syndromes, cancers, injuries, and sepsis can alter cellular metabolism by reducing mitochondrial function via oxidative stress, thereby resulting in neuropathy and muscle atrophy. In this study, we investigated whether butyrate, a short chain fatty acid produced by gut microbiota, could prevent mitochondrial dysfunction and muscle atrophy induced by lipopolysaccharide (LPS) in the C2C12 cell line. LPS-activated MAPK signaling pathways increased the levels of the mitochondrial fission signal, p-DRP1 (Ser616), and the muscle atrophy marker, atrogin 1. Interestingly, butyrate significantly inhibited the phosphorylation of JNK and p38 and reduced the atrogin 1 level in LPS-treated C2C12 cells while increasing the phosphorylation of DRP1 (Ser637) and levels of mitofusin2, which are both mitochondrial fusion markers. Next, we investigated the effect of MAPK inhibitors, finding that butyrate had the same effect as JNK inhibition in C2C12 cells. Also, butyrate inhibited the LPS-induced expression of pyruvate dehydrogenase kinase 4 (PDK4), resulting in decreased PDHE1α phosphorylation and lactate production, suggesting that butyrate shifted glucose metabolism from aerobic glycolysis to oxidative phosphorylation. Finally, we found that these effects of butyrate on LPS-induced mitochondrial dysfunction were caused by its antioxidant effects. Thus, our findings demonstrate that butyrate prevents LPS-induced muscle atrophy by improving mitochondrial dynamics and metabolic stress via the inhibition of JNK phosphorylation. Consequently, butyrate could be used to improve LPS-induced mitochondrial dysfunction and myopathy in sepsis.

Suggestions for Enhancing Sampling-Based Approach of Seismic Probabilistic Risk Assessment (샘플링기반 지진 확률론적 리스크평가 접근법 개선을 위한 제언)

  • Kwag, Shinyoung;Eem, Seunghyun;Choi, Eujeong;Ha, Jeong Gon;Hahm, Daegi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.2
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    • pp.77-84
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    • 2021
  • A sampling-based approach was devised as a nuclear seismic probabilistic risk assessment (SPRA) method to account for the partially correlated relationships between components. However, since this method is based on sampling, there is a limitation that a large number of samples must be extracted to estimate the results accurately. Thus, in this study, we suggest an effective approach to improve the existing sampling method. The main features of this approach are as follows. In place of the existing Monte Carlo sampling (MCS) approach, the Latin hypercube sampling (LHS) method that enables effective sampling in multiple dimensions is introduced to the SPRA method. In addition, the degree of segmentation of the seismic intensity is determined with respect to the final seismic risk result. By applying the suggested approach to an actual nuclear power plant as an example, the accuracy of the results were observed to be almost similar to those of the existing method, but the efficiency was increased by a factor of two in terms of the total number of samples extracted. In addition, it was confirmed that the LHS-based method improves the accuracy of the solution in a small sampling region.